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| Research on particle settling in rectangular ducts under effect of walls |
| Tang Fuping1, Shi Yan1, Guo Jiaojiao1, Xue Jianquan2, Zhang Guodong2 |
| 1.Zhundong Oil Production Plant of Xinjiang Oil Field Company, Fukang, Xinjiang 831511, China; 2.College of Petroleum Enginee-ring, China University of Petroleum, Qingdao, Shandong 266580, China |
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Abstract In order to characterize wall effect of rectangular ducts on particle settling, a prediction method of wall factor was presented using Artificial Neural Network(ANN). Extracted ρf, ρp, d, d/a, a/b, K and n as feature parameters, which substantially affect particle settling velocity.Culled 70 data of Machac′s paper to train and test the models, and compared predicted results of ANN with the calculated results of Miyamura correlation and Liu Malin correlation.The results show that, the accurate of ANN predicted results is great, the error is less than 7.5% for 90% calculated results. Comparing to Miyamura correlation and Liu Malin correlations, the ANN model has high engineering accuracy in parallel plate and rectangular ducts, and the application range of ANN has broader scope of application,and can meet complex engineering needs.
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Received: 08 August 2014
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